MIMO capacity with channel uncertainty: does feedback help? - Taesang Yoo; Eunchul Yoon; Andrea Goldsmith (GLOBECOM, 2004)

Capacity of fading MIMO channels with channel estimation error. - Taesang Yoo; Andrea Goldsmith (ICC, 2004)

Cross-layer design for video streaming over wireless ad hoc networks. - Taesang Yoo; Eric Setton; Xiaoqing Zhu; Andrea J. Goldsmith; Bernd Girod (MMSP, 2004)

Sum-rate optimal multi-antenna downlink beamforming strategy based on clique search. - Taesang Yoo; Andrea Goldsmith (GLOBECOM, 2005)

Optimality of zero-forcing beamforming with multiuser diversity. - Taesang Yoo; Andrea Goldsmith (ICC, 2005)

Cross-layer design of ad hoc networks for real-time video streaming. - Eric Setton; Taesang Yoo; Xiaoqing Zhu; Andrea J. Goldsmith; Bernd Girod (IEEE Wirel. Commun., 2005)

Coverage Spectral Efficiency of Cellular Systems with Cooperative Base Stations. - Yifan Liang; Taesang Yoo; Andrea J. Goldsmith (GLOBECOM, 2006)

Finite-Rate Feedback MIMO Broadcast Channels with a Large Number of Users. - Taesang Yoo; Nihar Jindal; Andrea Goldsmith (ISIT, 2006)

On the optimality of multiantenna broadcast scheduling using zero-forcing beamforming. - Taesang Yoo; Andrea J. Goldsmith (IEEE J. Sel. Areas Commun., 2006)

Capacity and power allocation for fading MIMO channels with channel estimation error. - Taesang Yoo; Andrea J. Goldsmith (IEEE Trans. Inf. Theory, 2006)

Multi-Antenna Downlink Channels with Limited Feedback and User Selection. - Taesang Yoo; Nihar Jindal; Andrea J. Goldsmith (IEEE J. Sel. Areas Commun., 2007)

3GPP LTE Downlink System Performance. - Amir Farajidana; Wanshi Chen; Aleksander Damnjanovic; Taesang Yoo; Durga Malladi; Christopher Lott (GLOBECOM, 2009)

Common Rate Support in Multi-Antenna Downlink Channels Using Semi-Orthogonal User Selection. - Taesang Yoo; Gerard J. Foschini; Reinaldo A. Valenzuela; Andrea J. Goldsmith (IEEE Trans. Inf. Theory, 2011)

A survey on 3GPP heterogeneous networks. - Aleksandar Damnjanovic; Juan Montojo; Yongbin Wei; Tingfang Ji; Tao Luo 009; Madhavan Vajapeyam; Taesang Yoo; Osok Song; Durga Malladi (IEEE Wirel. Commun., 2011)

Recent trend of multiuser MIMO in LTE-advanced. - Chaiman Lim; Taesang Yoo; Bruno Clerckx; Byungju Lee; Byonghyo Shim (IEEE Commun. Mag., 2013)

LOS Delay Estimation using Super Resolution Deep Neural Networks for Precise Positioning. - Srinivas Yerramalli; Taesang Yoo; Lorenzo Ferrari (GLOBECOM, 2020)

Learning based Transmitter/Receiver Design for the Nonlinear Channel. - June Namgoong; Taesang Yoo; Naga Bhushan; Kiran Mukkavilli; Tingfang Ji (ICC, 2021)

A Deep Reinforcement Learning Framework for Contention-Based Spectrum Sharing. - Akash S. Doshi; Srinivas Yerramalli; Lorenzo Ferrari; Taesang Yoo; Jeffrey G. Andrews (IEEE J. Sel. Areas Commun., 2021)

Reliable Millimeter Wave Beam Prediction with Confidence Measure. - Tianyang Bai; Hua Wang; Taesang Yoo; Ozge H. Koymen; Junyi Li (IEEECONF, 2022)

Long Short-Term Memory Based Millimeter Wave Beam Change Prediction via Real-World Data. - Qiaoyu Li; Arumugam Kannan; Himanshu Joshi; Taesang Yoo; Philip Sisk; Mahmoud Taherzadeh Boroujeni; Hamed Pezeshki; Tao Luo 009 (GLOBECOM (Workshops), 2022)

Beyond Codebook-Based Analog Beamforming at mmWave: Compressed Sensing and Machine Learning Methods. - Hamed Pezeshki; Fabio Valerio Massoli; Arash Behboodi; Taesang Yoo; Arumugam Kannan; Mahmoud Taherzadeh Boroujeni; Qiaoyu Li; Tao Luo 009; Joseph B. Soriaga (GLOBECOM, 2022)

Neural RF SLAM for unsupervised positioning and mapping with channel state information. - Shreya Kadambi; Arash Behboodi; Joseph B. Soriaga; Max Welling; Roohollah Amiri; Srinivas Yerramalli; Taesang Yoo (ICC, 2022)

Radio DIP - Completing Radio Maps using Deep Image Prior. - Akash S. Doshi; June Namgoong; Taesang Yoo (GLOBECOM, 2023)

Neural 5G Indoor Localization with IMU Supervision. - Aleksandr Ermolov; Shreya Kadambi; Maximilian Arnold; Mohammed Hirzallah; Roohollah Amiri; Deepak Singh Mahendar Singh; Srinivas Yerramalli; Daniel Dijkman; Fatih Porikli; Taesang Yoo; Bence Major (GLOBECOM, 2023)

Transformer-Based Neural Surrogate for Link-Level Path Loss Prediction from Variable-Sized Maps. - Thomas M. Hehn; Tribhuvanesh Orekondy; Ori Shental; Arash Behboodi; Juan Bucheli; Akash S. Doshi; June Namgoong; Taesang Yoo; Ashwin Sampath; Joseph B. Soriaga (GLOBECOM, 2023)

Deep Learning-Based Channel Estimation with Low-Density Pilot in MIMO-OFDM Systems. - Rui Hu; Chenxi Hao; Yu Zhang 054; Taesang Yoo; June Namgoong; Hao Xu (ICC, 2023)

Deep Learning for Probabilistic Interference Predictions in mmWave Networks. - Mohamed F. Marzban; Wooseok Nam; Tao Luo 009; Arumugam Kannan; Taesang Yoo (ICC Workshops, 2023)

Testing Black Boxes: Verification and Validation of AI Models in Wireless Communication Systems. - Chu-Hsiang Huang; Taesang Yoo; Juan Montojo; Chang-Hwa Park; Mohammed Hirzallah (WPMC, 2023)

Indoor Environment Learning via RF-Mapping. - Roohollah Amiri; Srinivas Yerramalli; Taesang Yoo; Mohammed Hirzallah; Marwen Zorgui; Rajat Prakash; Xiaoxia Zhang (IEEE J. Sel. Areas Commun., 2023)

Machine Learning Based Time Domain Millimeter-Wave Beam Prediction for 5G-Advanced and Beyond: Design, Analysis, and Over-The-Air Experiments. - Qiaoyu Li; Philip Sisk; Arumugam Kannan; Taesang Yoo; Tao Luo 009; Gaurav Shah; Badri Manjunath; Chanaka Samarathungage; Mahmoud Taherzadeh Boroujeni; Hamed Pezeshki; Himanshu Joshi (IEEE J. Sel. Areas Commun., 2023)

Artificial Intelligence and Machine Learning Based Beam Prediction in 5G-Advanced and 6G Communications. - Qiaoyu Li; Philip Sisk; Arumugam Kannan; Tao Luo 009; Taesang Yoo; Hamed Pezeshki; Mahmoud Taherzadeh Boroujeni (IEEECONF, 2024)

Visual Transformers for Cooperative Device-free Object Localization Using mmWave Signals. - Ziqi Wang; June Namgoong; Taesang Yoo; Wooseok Nam; Yucheng Dai; Akash S. Doshi; Tao Luo 009 (VTC Fall, 2024)

The Interplay Between Generative AI and 5G-Advanced Toward 6G. - Xingqin Lin; Mingzhe Chen; Taesang Yoo; Yue Wang; Lina Bariah; Nguyen Hoang Tran; Kaibin Huang (IEEE Netw., 2024)

Demonstrating Interoperable Channel State Feedback Compression with Machine Learning. - Dani Korpi; Rachel Wang; Jerry Wang; Abdelrahman Ibrahim; Carl J. Nuzman; Runxin Wang; Kursat Rasim Mestav; Dustin Zhang; Iraj Saniee; Shawn Winston; Gordana Pavlovic; Wei Ding; et al. (CoRR, 2025)